The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Wireless Sensor Networks for Healthcare
Abstract
Driven by the confluence between the need to collect data about people's physical, physiological, psychological, cognitive, and behavioral processes in spaces ranging from personal to urban and the recent availability of the technologies that enable this data collection, wireless sensor networks for healthcare have emerged in the recent years. In this review, we present some representative applications in the healthcare domain and describe the challenges they introduce to wireless sensor networks due to the required level of trustworthiness and the need to ensure the privacy and security of medical data. These challenges are exacerbated by the resource scarcity that is inherent with wireless sensor network platforms. We outline prototype systems spanning application domains from physiological and activity monitoring to large-scale physiological and behavioral studies and emphasize ongoing research challenges.
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System architecture directions for networked sensors
Hill, J., Szewczyk, R., Woo, A., Hollar, S., Culler, D., & Pister, K. (2000) · ACM SIGPLAN Notices · doi:10.1145/356989.356998 · Cited by 3,084
Contiki - a lightweight and flexible operating system for tiny networked sensors
Dunkels, A., Gronvall, B., & Voigt, T. (2004) · 29th Annual IEEE International Conference on Local Computer Networks · doi:10.1109/lcn.2004.38 · Cited by 2,680
Katz, S. (1963) · JAMA · doi:10.1001/jama.1963.03060120024016 · Cited by 2,421
Microfluidic diagnostic technologies for global public health
Yager, P., Edwards, T., Fu, E., Helton, K., Nelson, K., Tam, M. R., & Weigl, B. H. (2006) · Nature · doi:10.1038/nature05064 · Cited by 1,979
Telos: enabling ultra-low power wireless research
Polastre, J., Szewczyk, R., & Culler, D. (2005) · Cited by 1,735
X-MAC: a short preamble MAC protocol for duty-cycled wireless sensor networks
Buettner, M., Yee, G. V., Anderson, E., & Han, R. (2006) · Proceedings of the 4th international conference on Embedded networked sensor systems · doi:10.1145/1182807.1182838 · Cited by 1,694
The nesC language: a holistic approach to networked embedded systems
Gay, D., Levis, P., von Behren, R., Welsh, M., Brewer, E., & Culler, D. (2014) · ACM SIGPLAN Notices · doi:10.1145/2641638.2641652 · Cited by 1,631
Self-citationGnawali, O., Fonseca, R., Jamieson, K., Moss, D., & Levis, P. (2009) · Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems · doi:10.1145/1644038.1644040 · Cited by 1,404
The Aware Home: A Living Laboratory for Ubiquitous Computing Research
Kidd, C. D., Orr, R., Abowd, G. D., Atkeson, C. G., Essa, I. A., MacIntyre, B., Mynatt, E., Starner, T. E., & Newstetter, W. (1999) · Lecture Notes in Computer Science · doi:10.1007/10705432_17 · Cited by 1,035
Miluzzo, E., Lane, N. D., Fodor, K., Peterson, R., Lu, H., Musolesi, M., Eisenman, S. B., Zheng, X., & Campbell, A. T. (2008) · Proceedings of the 6th ACM conference on Embedded network sensor systems · doi:10.1145/1460412.1460445 · Cited by 1,032
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Yao, S., Hu, S., Zhao, Y., Zhang, A., & Abdelzaher, T. (2017) · Proceedings of the 26th International Conference on World Wide Web · doi:10.1145/3038912.3052577 · Cited by 667
Aceto, G., Persico, V., & Pescapé, A. (2018) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2018.02.008 · Cited by 504
Bhuiyan, M. N., Rahman, M. M., Billah, M. M., & Saha, D. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3062630 · Cited by 490
Implantable devices: issues and challenges
Bazaka, K., & Jacob, M. (2012) · Electronics · doi:10.3390/electronics2010001 · Cited by 358
Wearable Inertial Sensors for Human Motion Analysis: A Review
Lopez-Nava, I. H., & Munoz-Melendez, A. (2016) · IEEE Sensors Journal · doi:10.1109/jsen.2016.2609392 · Cited by 263
Metadata
- Authors
- Ko, J., Lu, C., Srivastava, M. B., Stankovic, J. A., Terzis, A., & Welsh, M.
- Venue
- Proceedings of the IEEE
- Published
- 2010-11
- Volume
- 98
- Issue
- 11
- Pages
- 1947-1960
- ISSN
- 0018-9219 (ISSN-L)
- 1558-2256
- OpenAlex
- W2090767179
- Cited by
- 733
- References
- 45
- FWCI
- 26.58
- Type
- journal article
- Language
- en
- Open access
- closed
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